Pub Date : 2018-07-01DOI: 10.1109/5GWF.2018.8516715
A. M. Mahmood, A. Al-Yasiri, O. Alani
The future fifth Generation (5G) cellular network is expected to support one million connections per square kilometre with 1 ms end-to-end as a desired latency. The potential of this ultra-dense network motivated the researchers to develop a new architecture. Cloud Radio Access Network (C-RAN) technology was proposed to meet the demand of future networks, however, moving the baseband processing from multiple physical base stations on the ground within the cell site into the cloud brings many challenges. One of these challenges is how to acquire accurate Channel State Information (CSI) for a dense number of access points and User Equipment (UE), which are the future theme of 5G deployment. CSI reflects the instantaneous communication link status between the mobile user and the base station. Hence, the imperfect or delayed CSI can influence the performance of the whole network. In order to reduce the impact of this outdated CSI and to improve its accuracy in C-RAN architecture, a Cognitive Neural Network Delay Predictor (CNNDP) is proposed for compensating the transmission and acquisition delay of the CSI working simultaneously along with the conventional prediction technique for predicting the time variations of the communication channel. The results demonstrate a significant enhancement in the data throughput of the network with the proposed approach.
{"title":"Cognitive Neural Network Delay Predictor for High Speed Mobility in 5G C-RAN Cellular Networks","authors":"A. M. Mahmood, A. Al-Yasiri, O. Alani","doi":"10.1109/5GWF.2018.8516715","DOIUrl":"https://doi.org/10.1109/5GWF.2018.8516715","url":null,"abstract":"The future fifth Generation (5G) cellular network is expected to support one million connections per square kilometre with 1 ms end-to-end as a desired latency. The potential of this ultra-dense network motivated the researchers to develop a new architecture. Cloud Radio Access Network (C-RAN) technology was proposed to meet the demand of future networks, however, moving the baseband processing from multiple physical base stations on the ground within the cell site into the cloud brings many challenges. One of these challenges is how to acquire accurate Channel State Information (CSI) for a dense number of access points and User Equipment (UE), which are the future theme of 5G deployment. CSI reflects the instantaneous communication link status between the mobile user and the base station. Hence, the imperfect or delayed CSI can influence the performance of the whole network. In order to reduce the impact of this outdated CSI and to improve its accuracy in C-RAN architecture, a Cognitive Neural Network Delay Predictor (CNNDP) is proposed for compensating the transmission and acquisition delay of the CSI working simultaneously along with the conventional prediction technique for predicting the time variations of the communication channel. The results demonstrate a significant enhancement in the data throughput of the network with the proposed approach.","PeriodicalId":440445,"journal":{"name":"2018 IEEE 5G World Forum (5GWF)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125463111","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-07-01DOI: 10.1109/5GWF.2018.8516930
A. Petosa
This summary paper examines how engineered electromagnetic surfaces can be applied to alter the way radio signals propagate in dense urban environments in order to enhance coverage or improve densification, thereby enabling the engineering of the environment in a way that enhances radio spectrum use in smart cities. Examples of designs and deployments in the Wi-Fi and millimeter-wave bands are presented for both indoor and outdoor applications.
{"title":"Engineering the 5G Environment","authors":"A. Petosa","doi":"10.1109/5GWF.2018.8516930","DOIUrl":"https://doi.org/10.1109/5GWF.2018.8516930","url":null,"abstract":"This summary paper examines how engineered electromagnetic surfaces can be applied to alter the way radio signals propagate in dense urban environments in order to enhance coverage or improve densification, thereby enabling the engineering of the environment in a way that enhances radio spectrum use in smart cities. Examples of designs and deployments in the Wi-Fi and millimeter-wave bands are presented for both indoor and outdoor applications.","PeriodicalId":440445,"journal":{"name":"2018 IEEE 5G World Forum (5GWF)","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131424133","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-07-01DOI: 10.1109/5GWF.2018.8516969
Kamil Bechta, M. Rybakowski, F. Hsieh, D. Chizhik
Development of next generation mobile communication system (5G) is progressing rapidly. Standardization and regulatory bodies like 3rd Generation Partnership Project (3GPP) or International Telecommunication Union (ITU) are working on definition of requirements which will enable global usage of 5G and ensure sufficient co-existence with previous generations of mobile communication systems like Universal Mobile Telecommunication System (UMTS) or Long Term Evolution (LTE), as well as with other users of radio spectrum like satellite or radars. One of the key factors which distinguish 5G from previous technologies is the ability to operate in radio bands not accessible for LTE, i.e. higher than 6GHz. However, worse radio propagation conditions on higher frequencies require the usage of more directional antennas with higher maximum gains to compensate higher path loss in radio link budget. Particularly important in system evaluation and coexistence studies is correct modeling of power budget of radio link with directional antennas, both serving link and interfering link, as it impacts final signal to interference and noise ratio (SINR), which is the basis of 5G requirements evaluation. In this paper authors are concentrated on the methods of system level simulation modeling of serving link and interfering link with directional antennas on both sides of the link. For assumed simulation scenarios it is shown that use of idealized antenna gain, that neglects the angle spread, leads to an overestimation of received power of serving link by around 15dB. A simple approximate evaluation method is shown to be within less than 2dB of the detailed 3D channel simulation.
{"title":"Modeling of radio link budget with beamforming antennas for evaluation of 5G systems","authors":"Kamil Bechta, M. Rybakowski, F. Hsieh, D. Chizhik","doi":"10.1109/5GWF.2018.8516969","DOIUrl":"https://doi.org/10.1109/5GWF.2018.8516969","url":null,"abstract":"Development of next generation mobile communication system (5G) is progressing rapidly. Standardization and regulatory bodies like 3rd Generation Partnership Project (3GPP) or International Telecommunication Union (ITU) are working on definition of requirements which will enable global usage of 5G and ensure sufficient co-existence with previous generations of mobile communication systems like Universal Mobile Telecommunication System (UMTS) or Long Term Evolution (LTE), as well as with other users of radio spectrum like satellite or radars. One of the key factors which distinguish 5G from previous technologies is the ability to operate in radio bands not accessible for LTE, i.e. higher than 6GHz. However, worse radio propagation conditions on higher frequencies require the usage of more directional antennas with higher maximum gains to compensate higher path loss in radio link budget. Particularly important in system evaluation and coexistence studies is correct modeling of power budget of radio link with directional antennas, both serving link and interfering link, as it impacts final signal to interference and noise ratio (SINR), which is the basis of 5G requirements evaluation. In this paper authors are concentrated on the methods of system level simulation modeling of serving link and interfering link with directional antennas on both sides of the link. For assumed simulation scenarios it is shown that use of idealized antenna gain, that neglects the angle spread, leads to an overestimation of received power of serving link by around 15dB. A simple approximate evaluation method is shown to be within less than 2dB of the detailed 3D channel simulation.","PeriodicalId":440445,"journal":{"name":"2018 IEEE 5G World Forum (5GWF)","volume":"146 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132742790","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-07-01DOI: 10.1109/5GWF.2018.8517046
R. Ravindran, Prakash Suthar, A. Chakraborti, S. O. Amin, A. Azgin, Guoqiang Wang
The proposed 3GPP’s 5G Next-generation (NextGen) Core architecture (5GC) enables the ability to introduce new user and control plane functions within the context of network slicing functions to allow greater flexibility in handling of heterogeneous devices and applications. In this paper, we discuss the integration of such architecture with future networking technologies by focusing on the information centric networking (ICN). For that purpose, we first provide a short description of the proposed 5GC, which is followed by a discussion on the extensions to 5GC’s control and user planes to support Protocol Data Unit (PDU) sessions from ICN end points. To illustrate the value of enabling ICN within 5GC, we focus on two important network services that can be enabled by ICN data networks. The first case targets mobile edge computing for a connected car use case, while the second case targets seamless mobility support for ICN sessions. We present these discussions in consideration with the procedures proposed by 3GPP’s TS23.501 and TS23.502 technical specifications, with the objective to provide mechanisms to introduce ICN in 5GC without disrupting the existing architecture and procedures.
{"title":"Deploying ICN in 3GPP’s 5G NextGen Core Architecture","authors":"R. Ravindran, Prakash Suthar, A. Chakraborti, S. O. Amin, A. Azgin, Guoqiang Wang","doi":"10.1109/5GWF.2018.8517046","DOIUrl":"https://doi.org/10.1109/5GWF.2018.8517046","url":null,"abstract":"The proposed 3GPP’s 5G Next-generation (NextGen) Core architecture (5GC) enables the ability to introduce new user and control plane functions within the context of network slicing functions to allow greater flexibility in handling of heterogeneous devices and applications. In this paper, we discuss the integration of such architecture with future networking technologies by focusing on the information centric networking (ICN). For that purpose, we first provide a short description of the proposed 5GC, which is followed by a discussion on the extensions to 5GC’s control and user planes to support Protocol Data Unit (PDU) sessions from ICN end points. To illustrate the value of enabling ICN within 5GC, we focus on two important network services that can be enabled by ICN data networks. The first case targets mobile edge computing for a connected car use case, while the second case targets seamless mobility support for ICN sessions. We present these discussions in consideration with the procedures proposed by 3GPP’s TS23.501 and TS23.502 technical specifications, with the objective to provide mechanisms to introduce ICN in 5GC without disrupting the existing architecture and procedures.","PeriodicalId":440445,"journal":{"name":"2018 IEEE 5G World Forum (5GWF)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122365458","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-07-01DOI: 10.1109/5GWF.2018.8516973
A. Mercader, Jonathan Ah Sue, R. Hasholzner, J. Brendel
Power consumption is a key challenge for LTE-Advanced or future 5G mobile devices. Prediction of control channel signaling messages during an active connection with the network is a promising technique to improve the energy performance of LTE-A mobile devices and will also apply to future 5G devices due to the similarities between LTE-A and 5G New Radio (NR) standards in scheduling and controlling data transmissions. To reduce the prediction’s computational complexity and thus, the power consumed by the predictor itself, various dimensionality reduction algorithms are evaluated in this paper. Specific windowing and normalization pre-processing steps are proposed to support the heterogeneous binary and integer time series data of LTE control channel messages. Using a simple Feed Forward Neural Network (FFNN) predictor, four dimensionality reduction algorithms, Principal Component Analysis (PCA), Independent Component Analysis (ICA), Autoencoder (AE), and Deep AE, are compared with respect to the prediction accuracy. Experiments based on live network data show that PCA achieves the best performance and allows to successfully reduce LTE-A control channel time series data from 450 to 45 dimensions without degrading the prediction accuracy compared to a FFNN predictor without dimensionality reduction.
{"title":"Improvements in LTE-Advanced Time Series Prediction with Dimensionality Reduction Algorithms","authors":"A. Mercader, Jonathan Ah Sue, R. Hasholzner, J. Brendel","doi":"10.1109/5GWF.2018.8516973","DOIUrl":"https://doi.org/10.1109/5GWF.2018.8516973","url":null,"abstract":"Power consumption is a key challenge for LTE-Advanced or future 5G mobile devices. Prediction of control channel signaling messages during an active connection with the network is a promising technique to improve the energy performance of LTE-A mobile devices and will also apply to future 5G devices due to the similarities between LTE-A and 5G New Radio (NR) standards in scheduling and controlling data transmissions. To reduce the prediction’s computational complexity and thus, the power consumed by the predictor itself, various dimensionality reduction algorithms are evaluated in this paper. Specific windowing and normalization pre-processing steps are proposed to support the heterogeneous binary and integer time series data of LTE control channel messages. Using a simple Feed Forward Neural Network (FFNN) predictor, four dimensionality reduction algorithms, Principal Component Analysis (PCA), Independent Component Analysis (ICA), Autoencoder (AE), and Deep AE, are compared with respect to the prediction accuracy. Experiments based on live network data show that PCA achieves the best performance and allows to successfully reduce LTE-A control channel time series data from 450 to 45 dimensions without degrading the prediction accuracy compared to a FFNN predictor without dimensionality reduction.","PeriodicalId":440445,"journal":{"name":"2018 IEEE 5G World Forum (5GWF)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130760638","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-07-01DOI: 10.1109/5GWF.2018.8516995
P. Veitch, Adam Broadbent, S. V. Rossem, B. Sayadi, Lionel Natarianni, Bilal Al Jammal, L. Roullet, Angelos Mimidis, Eder Ollora, José Soler, Sebastien Pinneterre, Michele Paolino, Aurora Ramos, X. Du, Michail Flouris, L. Mariani, O. Riganelli, M. Mobilio, Anas Shatnawi, Matteo Orrù, Maurice Zembra
Platform-As-A-Service (PaaS) systems offer customers a rich environment in which to build, deploy, and run applications. Today’s PaaS offerings are tailored mainly to the needs of web and mobile applications developers, and involve a fairly rigid stack of components and features. The vision of the H2020 5GPPP Phase 2 Next Generation Platform-as-a-Service (NGPaaS) project is to enable "build-to-order" customized PaaSes, tailored to the needs of a wide range of use cases with telco-grade 5G characteristics. This paper sets out the salient and innovative features of NGPaaS and explores the impacts on Operational Support Systems and Business Support Systems (OSS/BSS), moving from fixed centralized stacks to a much more flexible and modular distributed architecture.
{"title":"Re-Factored Operational Support Systems for the Next Generation Platform-as-a-Service (NGPaaS)","authors":"P. Veitch, Adam Broadbent, S. V. Rossem, B. Sayadi, Lionel Natarianni, Bilal Al Jammal, L. Roullet, Angelos Mimidis, Eder Ollora, José Soler, Sebastien Pinneterre, Michele Paolino, Aurora Ramos, X. Du, Michail Flouris, L. Mariani, O. Riganelli, M. Mobilio, Anas Shatnawi, Matteo Orrù, Maurice Zembra","doi":"10.1109/5GWF.2018.8516995","DOIUrl":"https://doi.org/10.1109/5GWF.2018.8516995","url":null,"abstract":"Platform-As-A-Service (PaaS) systems offer customers a rich environment in which to build, deploy, and run applications. Today’s PaaS offerings are tailored mainly to the needs of web and mobile applications developers, and involve a fairly rigid stack of components and features. The vision of the H2020 5GPPP Phase 2 Next Generation Platform-as-a-Service (NGPaaS) project is to enable \"build-to-order\" customized PaaSes, tailored to the needs of a wide range of use cases with telco-grade 5G characteristics. This paper sets out the salient and innovative features of NGPaaS and explores the impacts on Operational Support Systems and Business Support Systems (OSS/BSS), moving from fixed centralized stacks to a much more flexible and modular distributed architecture.","PeriodicalId":440445,"journal":{"name":"2018 IEEE 5G World Forum (5GWF)","volume":"140 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132401979","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-07-01DOI: 10.1109/5GWF.2018.8516919
Jicheol Lee, Sang-Jun Moon, B. Bae, Jinsung Lee
We introduce a noble concept and design of Local Area Data Network (LADN) that geographically isolates the operator network resources to provide high data rate, low latency, and service localization for 5G System Architecture. In addition, we compare two alternative solutions of handling the LADN session with considerations of UE power consumptions and human mobility patterns. The proposed LADN technology enables the edge computing.
我们引入尊贵的LADN (Local Area Data Network)概念和设计，在地理上隔离运营商网络资源，为5G系统架构提供高数据速率、低延迟和服务本地化。此外，我们比较了处理LADN会话的两种替代解决方案，并考虑了UE功耗和人类移动模式。提出的LADN技术实现了边缘计算。
{"title":"Local Area Data Network for 5G System Architecture","authors":"Jicheol Lee, Sang-Jun Moon, B. Bae, Jinsung Lee","doi":"10.1109/5GWF.2018.8516919","DOIUrl":"https://doi.org/10.1109/5GWF.2018.8516919","url":null,"abstract":"We introduce a noble concept and design of Local Area Data Network (LADN) that geographically isolates the operator network resources to provide high data rate, low latency, and service localization for 5G System Architecture. In addition, we compare two alternative solutions of handling the LADN session with considerations of UE power consumptions and human mobility patterns. The proposed LADN technology enables the edge computing.","PeriodicalId":440445,"journal":{"name":"2018 IEEE 5G World Forum (5GWF)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123424403","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-07-01DOI: 10.1109/5GWF.2018.8516708
N. Ravi, M. Selvaraj
Digital community has envisioned 5G as a network that will be heterogeneous and open in nature, which leads to a pile of security loopholes. It is necessary to have an in depth analysis of the security features of the 5G network before its wide deployment. So, we intend to model a testbed that will be able to probe into security strengths and weakness of the open 5G architecture. In this paper, we have laid down the design of our experimental 5G testbed that encompasses a blend of 5G components spanning over Software Defined Networks, Fog computing and Internet of Things. Our testbed comprises of next generation programmable switches that is capable of effectively demonstrating 5G security services and experimenting on real time data of the programmable openflow enabled switches.
{"title":"TeFENS: Testbed For Experimenting Next-Generation-Network Security","authors":"N. Ravi, M. Selvaraj","doi":"10.1109/5GWF.2018.8516708","DOIUrl":"https://doi.org/10.1109/5GWF.2018.8516708","url":null,"abstract":"Digital community has envisioned 5G as a network that will be heterogeneous and open in nature, which leads to a pile of security loopholes. It is necessary to have an in depth analysis of the security features of the 5G network before its wide deployment. So, we intend to model a testbed that will be able to probe into security strengths and weakness of the open 5G architecture. In this paper, we have laid down the design of our experimental 5G testbed that encompasses a blend of 5G components spanning over Software Defined Networks, Fog computing and Internet of Things. Our testbed comprises of next generation programmable switches that is capable of effectively demonstrating 5G security services and experimenting on real time data of the programmable openflow enabled switches.","PeriodicalId":440445,"journal":{"name":"2018 IEEE 5G World Forum (5GWF)","volume":"122 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123715331","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-07-01DOI: 10.1109/5GWF.2018.8517030
Kawtar Zerhouni, F. Elbahhar, R. Elassali, K. Elbaamrani
Universal Filtered MultiCarrier(UFMC) is a spectrally efficient waveform that applies per-subband filtering to reduce the Out Of Band emissions. Thanks to the orthogonality in complex plane, UFMC retains the simplicity of conventional OFDM while addressing its drawbacks. One of the main advantages of UFMC is its compatibility with the existing OFDM techniques. For instance channel estimation can be built based on OFDM one. Hence in this paper, we address the pilot aided channel estimation. To this end we propose to use the scattered pilot arrangement for UFMC under a fast varying channel. The results reveal that despite the difference in channel gain between subcarriers in UFMC, scattered pilot arrangement has good performance with the minimum number of pilots compared to block and comb type arrangement.
{"title":"Performance of Universal Filtered Multicarrier Channel Estimation with Different Pilots arrangements","authors":"Kawtar Zerhouni, F. Elbahhar, R. Elassali, K. Elbaamrani","doi":"10.1109/5GWF.2018.8517030","DOIUrl":"https://doi.org/10.1109/5GWF.2018.8517030","url":null,"abstract":"Universal Filtered MultiCarrier(UFMC) is a spectrally efficient waveform that applies per-subband filtering to reduce the Out Of Band emissions. Thanks to the orthogonality in complex plane, UFMC retains the simplicity of conventional OFDM while addressing its drawbacks. One of the main advantages of UFMC is its compatibility with the existing OFDM techniques. For instance channel estimation can be built based on OFDM one. Hence in this paper, we address the pilot aided channel estimation. To this end we propose to use the scattered pilot arrangement for UFMC under a fast varying channel. The results reveal that despite the difference in channel gain between subcarriers in UFMC, scattered pilot arrangement has good performance with the minimum number of pilots compared to block and comb type arrangement.","PeriodicalId":440445,"journal":{"name":"2018 IEEE 5G World Forum (5GWF)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127404854","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-07-01DOI: 10.1109/5GWF.2018.8516993
Ivo Bizon Franco de Almeida, L. Mendes
This paper explores the flexibility of generalized frequency division multiplexing (GFDM) for achieving the same performance as filter bank multicarrier (FBMC). We present a GFDM configuration where the good spectral containment of FBMC is also achieved through a modification in the GFDM transmission scheme. For evaluating the scheme’s performance, we estimate the bit error ratio (BER) under three channel models: i) pure additive Gaussian AWGN; ii) time-invariant frequency-selective; iii) time-variant frequency-selective (doubly dispersive). The spectral containment is measured through the power spectral density. Furthermore, the complementary cumulative distribution function (CCDF) of the peak-to-average power ratio (PAPR) is also estimated. The Linear GFDM waveform shows identical performance when compared to FBMC in the above test scenarios.
{"title":"Linear GFDM: A Low Out-of-band Emission Configuration for 5G Air Interface","authors":"Ivo Bizon Franco de Almeida, L. Mendes","doi":"10.1109/5GWF.2018.8516993","DOIUrl":"https://doi.org/10.1109/5GWF.2018.8516993","url":null,"abstract":"This paper explores the flexibility of generalized frequency division multiplexing (GFDM) for achieving the same performance as filter bank multicarrier (FBMC). We present a GFDM configuration where the good spectral containment of FBMC is also achieved through a modification in the GFDM transmission scheme. For evaluating the scheme’s performance, we estimate the bit error ratio (BER) under three channel models: i) pure additive Gaussian AWGN; ii) time-invariant frequency-selective; iii) time-variant frequency-selective (doubly dispersive). The spectral containment is measured through the power spectral density. Furthermore, the complementary cumulative distribution function (CCDF) of the peak-to-average power ratio (PAPR) is also estimated. The Linear GFDM waveform shows identical performance when compared to FBMC in the above test scenarios.","PeriodicalId":440445,"journal":{"name":"2018 IEEE 5G World Forum (5GWF)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117060446","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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